Asymptotic and bootstrap inference for inequality and poverty measures

DOI10.1016/j.jeconom.2007.01.009zbMath1418.62440OpenAlexW2150395718MaRDI QIDQ288352

Emmanuel Flachaire, Russell Davidson

Publication date: 25 May 2016

Published in: Journal of Econometrics (Search for Journal in Brave)

Full work available at URL: https://halshs.archives-ouvertes.fr/halshs-00175929/file/Davidson_Flachaire_04.pdf

zbMATH Keywords

income distributionpovertybootstrap inference

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Bootstrap, jackknife and other resampling methods (62F40) Nonparametric statistical resampling methods (62G09) Statistical methods; economic indices and measures (91B82)

Related Items

Functional Sequential Treatment Allocation, Income distribution and inequality measurement: the problem of extreme values, Statistical inference in the presence of heavy tails, Discussion of S.G. Donald et al. and R. Davidson, On the problem of inference for inequality measures for heavy‐tailed distributions, Edgeworth expansions and normalizing transforms for inequality measures, Income inequality decomposition using a finite mixture of log-normal distributions: a Bayesian approach, Empirical Likelihood-Based Inference for Poverty Measures with Relative Poverty Lines, Joint hypothesis tests for multidimensional inequality indices, A WILD BOOTSTRAP FOR DEPENDENT DATA, Treatment recommendation with distributional targets, District-level poverty estimation: a proposed method, Asymptotic and bootstrap inference for top income shares, Empirical likelihood-based inference for the generalized entropy class of inequality measures, Small Sample Robust Testing for Normality against Pareto Tails, Statistical inference for multidimensional inequality indices, Robust subsampling, Estimation of the income distribution and detection of subpopulations: an explanatory model

Uses Software

• ismev

Cites Work

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• Income distribution and inequality measurement: the problem of extreme values
• Asymptotic properties of the bootstrap for heavy-tailed distributions
• Bootstrap of the mean in the infinite variance case
• A simple general approach to inference about the tail of a distribution
• On the bootstrap of the sample mean in the infinite variance case
• Nonparametric tail estimation using a double bootstrap method.
• Bootstrap inference for inequality, mobility and poverty measurement
• Tails of Lorenz curves
• A Class of Decomposable Poverty Measures
• Prepivoting Test Statistics: A Bootstrap View of Asymptotic Refinements
• The Stationary Bootstrap
• Statistical Inference for the Measurement of the Incidence of Taxes and Transfers
• THE SIZE DISTORTION OF BOOTSTRAP TESTS
• Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality
• Inference in Arch and Garch Models with Heavy-Tailed Errors
• Robust Statistics
• The bootstrap and Edgeworth expansion
• An introduction to statistical modeling of extreme values